Design of Experiments for Engineers and Scientists Book

Design of Experiments for Engineers and Scientists


  • Author : Jiju Antony
  • Publisher : Elsevier
  • Release Date : 2014-02-22
  • Genre: Technology & Engineering
  • Pages : 220
  • ISBN 10 : 9780080994192

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Design of Experiments for Engineers and Scientists Excerpt :

The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation. Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand. This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry

Design of Experiments for Engineers and Scientists Book
Score: 4
From 2 Ratings

Design of Experiments for Engineers and Scientists


  • Author : Jiju Antony
  • Publisher : Elsevier
  • Release Date : 2003-09-05
  • Genre: Technology & Engineering
  • Pages : 190
  • ISBN 10 : 9780080469959

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Design of Experiments for Engineers and Scientists Excerpt :

The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma. Key features: * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods – reducing time taken to design and develop prototypes, reducing time to reach the market * Case studies place DOE techniques in the context of different industry sectors * An excellent resource for the Six Sigma training program This book will be useful to engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs. * Provid

Design of Experiments for Engineers and Scientists Book

Design of Experiments for Engineers and Scientists


  • Author : Jiju Antony
  • Publisher : Elsevier
  • Release Date : 2017-11-13
  • Genre: Technology & Engineering
  • Pages : 222
  • ISBN 10 : 0081013167

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Design of Experiments for Engineers and Scientists Excerpt :

The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the lasttwo decades. However research has shown that application of this powerful technique in many companiesis limited due to a lack of statistical knowledge required for its effective implementation. Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. "Design of Experiments for Engineers and Scientists" overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached asthrough using statistical methods and readers will find the concepts in this book both familiar and easy to understand. This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studiesits importance in the service industry. Itis essential reading forengineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learnhow to use DoEExplainswhy teaching DoE techniques in the improvement phase of Six Sigma is animportant part of problem solving methodologyNew editionincludes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry"

Practical Experiment Designs Book

Practical Experiment Designs


  • Author : William J. Diamond
  • Publisher : Wiley
  • Release Date : 1989-10-15
  • Genre: Technology & Engineering
  • Pages : 408
  • ISBN 10 : 047128971X

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Practical Experiment Designs Excerpt :

Design of Experiments in Chemical Engineering Book

Design of Experiments in Chemical Engineering


  • Author : Zivorad R. Lazic
  • Publisher : John Wiley & Sons
  • Release Date : 2006-03-06
  • Genre: Science
  • Pages : 620
  • ISBN 10 : 9783527604593

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Design of Experiments in Chemical Engineering Excerpt :

While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research: * screening designs * mathematical modeling, and * optimization. Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods. The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process. With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.

Empirical Modeling and Data Analysis for Engineers and Applied Scientists Book

Empirical Modeling and Data Analysis for Engineers and Applied Scientists


  • Author : Scott A. Pardo
  • Publisher : Springer
  • Release Date : 2016-07-19
  • Genre: Mathematics
  • Pages : 247
  • ISBN 10 : 9783319327686

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Empirical Modeling and Data Analysis for Engineers and Applied Scientists Excerpt :

This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a

Design of Experiments for Chemical  Pharmaceutical  Food  and Industrial Applications Book

Design of Experiments for Chemical Pharmaceutical Food and Industrial Applications


  • Author : Carrillo-Cedillo, Eugenia Gabriela
  • Publisher : IGI Global
  • Release Date : 2019-12-13
  • Genre: Science
  • Pages : 429
  • ISBN 10 : 9781799815204

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Design of Experiments for Chemical Pharmaceutical Food and Industrial Applications Excerpt :

Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.

Handbook of Design and Analysis of Experiments Book

Handbook of Design and Analysis of Experiments


  • Author : Angela Dean
  • Publisher : CRC Press
  • Release Date : 2015-06-26
  • Genre: Mathematics
  • Pages : 960
  • ISBN 10 : 9781466504349

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Handbook of Design and Analysis of Experiments Excerpt :

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications. The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas. This comprehensive handbook equips new researchers with a broad understanding of the field’s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.

Getting it Right Book

Getting it Right


  • Author : Peter Bock
  • Publisher : Academic Press
  • Release Date : 2001
  • Genre: Science
  • Pages : 406
  • ISBN 10 : 9780121088521

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Getting it Right Excerpt :

Over the past decade, the author has met with directors of R&D departments in large industrial firms, who are frustrated by the lack of coherent and consistent methodologies in R&D projects. As a direct result the author was asked to design and present a seminar to provide R&D engineers and scientists a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects. The author also realized that this training should be included in engineering and science curricula in universities and colleges. To this end, he designed and presented a pilot course for his department that was received enthusiastically by students who participated. This course has now become a required course for all doctoral students in the author's department. This book has been designed to provide professional engineers, scientists, and students with a consistent and practical framework for the rigorous conduct and communication of complex research and development projects. Although courses and training in research methods are common and generally required of social science professionals, a vast majority of physical scientists and engineers have had no formal classroom training or on-the-job mentoring on proper procedures for research methods. Getting It Right emphasizes the comprehensive analysis of project problems, requirements, and objectives; the use of standard and consistent terminology and procedures; the design of rigorous and reproducible experiments; the appropriate reduction and interpretation of project results; and the effective communication of project design, methods, results, and conclusions. Presents a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects Thoroughly researched to appeal to the needs of R&D engineers and scientists in industry Will also appeal to students of engineering and science

Basic Experimental Strategies and Data Analysis for Science and Engineering Book

Basic Experimental Strategies and Data Analysis for Science and Engineering


  • Author : John Lawson
  • Publisher : CRC Press
  • Release Date : 2016-11-03
  • Genre: Business & Economics
  • Pages : 434
  • ISBN 10 : 9781466512184

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Basic Experimental Strategies and Data Analysis for Science and Engineering Excerpt :

Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a guide that can be used as a reference book or as a sole or supplemental text for a university course.

Design of Experiments with MINITAB Book
Score: 5
From 1 Ratings

Design of Experiments with MINITAB


  • Author : Paul G. Mathews
  • Publisher : Asq Press
  • Release Date : 2005-01-01
  • Genre: Computers
  • Pages : 499
  • ISBN 10 : 0873896378

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Design of Experiments with MINITAB Excerpt :

Most of the classic DOE books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of the common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of MINITAB are detailed enough to provide effective guidance to a new MINITAB user, the book is still general enough to be very helpful to users of other DOE software packages. Every chapter contains many examples with detailed solutions including extensive output from MINITAB. Preview a sample chapter from this book along with the full table of contents by clicking here.You will need Adobe Acrobat to view this pdf file.

Statistical Design of Experiments with Engineering Applications Book

Statistical Design of Experiments with Engineering Applications


  • Author : Kamel Rekab
  • Publisher : CRC Press
  • Release Date : 2005-04-08
  • Genre: Mathematics
  • Pages : 272
  • ISBN 10 : 9781574446258

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Statistical Design of Experiments with Engineering Applications Excerpt :

In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.

Experimentation in Software Engineering Book

Experimentation in Software Engineering


  • Author : Claes Wohlin
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-06-16
  • Genre: Computers
  • Pages : 236
  • ISBN 10 : 9783642290442

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Experimentation in Software Engineering Excerpt :

Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.

Experimental Design Book

Experimental Design


  • Author : S.N. Deming
  • Publisher : Elsevier
  • Release Date : 1987-01-01
  • Genre: Science
  • Pages : 285
  • ISBN 10 : 0080868304

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Experimental Design Excerpt :

Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented. The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.

Design and Modeling for Computer Experiments Book

Design and Modeling for Computer Experiments


  • Author : Kai-Tai Fang
  • Publisher : CRC Press
  • Release Date : 2005-10-14
  • Genre: Mathematics
  • Pages : 304
  • ISBN 10 : 9781420034899

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Design and Modeling for Computer Experiments Excerpt :

Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experim